The idea of supply chain management (SCM) is covering its perspective in the form of flow of material and information from the business to customers. Its application in the field of tourism is also very much significant. The objective of present study is to analyze the empirical association between the supply chain management and tourism industry from the context of hotel industry in Indonesia. For this purpose, a questionnaire-based approach is followed while taking the demographic factors regarding age, gender and qualification. A sample of 272 respondents is finally accepted for the empirical examination between supply chain and its implication in tourism industry. Both descriptive and regression analysis are conducted. To analyze the factor of supply chain, sixteen items are considered from the existing literature while considering the strategic supplier partnership, information sharing, and information quality as the key indicators. The factor of tourism is measured through four different proxies. The practical implications of the study are taken both the tourists and key policymakers while dealing with the SCM and its integration with those hotels dealing with the tourism and related services. This study contributes towards the future trends in the form of integration for SCM and tourism industry.

207Pengutipan: Ibrahim. A. (2017). Starategi perpustakaan terhadap peningkatan minat kunjung pemustaka di Perpustakaan UIN Alauddin Makassar. Khizanah al-Hikmah : Jurnal Ilmu Perpustakaan, Informasi, dan Kearsipan. 5(2), 207-221. DOI: https://doi.org/10.24252/kah.v5i2a8 ABSTRAKPenelitian ini fokus pada strategi perpustakaan terhadap peningkatan minat kunjung pemustaka di perpustakaan Universitas Islam Negeri Alauddin Makassar. Rumusan masalah dalam penelitian ini adalah bagaimana strategi perpustakaan dalam meningkatkan minat kunjung pemustaka di perpustakaan UIN Alauddin Makassar. Tujuan dari penelitian ini untuk mengetahui bagaimana strategi perpustakaan terhadap peningkatan minat kunjung pemustaka di perpustakaan Universitas Islam Negeri UIN Alauddin Makassar dari segi aspek pelayanan pemustaka serta dari aspek sarana dan prasarana. Penelitian deskriptif ini menggunakan pendekatan analisis data kualitatif purposive yakni data yang diperoleh dari sumber data (informan) dapat digambarkan secara deskriktif hingga data tersebut sampai ke titik jenuh. Model analisis kualitatif lebih mengutamakan pada content analisis yang tertuju pada pendalaman dan penghayatan terhadap makna data-data yang dikaji, dengan pendalaman pemikiran terhadap data-data tersebut memungkinkan hasil penelitian yang dicapai memadai. Strategi Perpustakaan dalam meningkatkan minat kunjung pemustaka dari aspek pelayanan ialah dititikberatkan pada kehandalan, daya tanggap, jaminan mutu pelayanan, dan rasa empati terhadap pemustaka. sedangkan dari aspek sarana dan prasarana ialah Penempatan gedung perpustakaan yang strategis dan mudah dijangkau oleh pemustaka, Penataan rak (rak buku, meja, kursi baca) strategis dan teratur, Menyediakan koleksi (koleksi buku umum, referensi, jurnal) lengkap sesuai kebutuhan pemustaka, Menyediakan fasilitas (rak buku, rak majalah, kabinet gambar, lemari atau kabinet catalog, papan pengumuman, meja baca, kusi, papan display, OPAC) lengkap dan memadai, Menyediakan jaringan internet yang mendukung pemustaka untuk mengakses informasi.

Identifikasi dan klasifikasi habitat bentik di perairan dangkal menggunakan citra satelit semakin berkembang. Pengembangan model dalam mengidentifikasi objek habitat bentik sangat penting untuk mengisi kebutuhan pemetaan habitat bentik dengan akurasi yang memadai. Penelitian ini bertujuan untuk mengembangkan model identifikasi habitat bentik dari data citra satelit penginderaan jauh menggunakan metode segmentasi berbasis objek dan algoritma klasifikasi machine learning. Tiga pendekatan klasifikasi digital yang digunakan adalah support vector machine (SVM), decision tree (DT) dan random forest (RF). Ketiga algoritma tersebut diterapkan pada hasil segmentasi citra berbasis objek untuk menguji akurasi dari hasil klasifikasi habitat bentik. Data yang digunakan adalah citra satelit resolusi tinggi SPOT 6 yang diakuisisi pada wilayah Gugus Pulau Pari pada tanggal 20 Mei 2020. Hasil penelitian menunjukkan pendekatan segmentasi berbasis objek membentuk pola segmen yang lebih rapat pada obyek heterogen dibandingkan dengan obyek yang relatif homogen (misalnya obyek daratan dan perairan). Algoritma machine learning yang diterapkan pada hasil segmentasi berbasis objek menghasilkan nilai akurasi keseluruhan (overall accuracy) lebih dari 70% untuk setiap algoritma, dengan rincian hasil adalah 75.83% untuk SVM, 74.17% untuk DT, dan 83.33% untuk RF. Dari ketiga algoritma machine learning yang diterapkan pada hasil segmentasi berbasis objek terlihat algoritma RF memiliki nilai akurasi yang paling baik dibandingkan dengan algoritma lainnya.

LAPAN-A3 (LA3) data has been utilized for earth observation in monitoring natural resources. While most applications are toward land resources monitoring, recent utilization indicates the possibility of LA3 detecting oil spill events on the sea surface. This research provides information regarding the ability of sensors characteristics of LA3 to detect oil slicks and its initial results by examining multispectral bands combination using Optimum Index Factor (OIF), and Digital Number (DN) extraction is carried out on each LA3 band in water-oil-water since LA3 is not able to change DN to reflectance value. In this study, besides using LA3 data, Sentinel-2 data was also used as comparative data and results in validation. Based on the results of the OIF calculation, the combination of the Blue-Green-NIR (BGN) band has the highest value compared to other combinations. This indicates that the BGN band combination is appropriate for visualizing oil and distinguishing between oil and water. The pattern formed from the visualization results with the combination of the BGN band is silvery in crude oil and greenish in ship waste disposal. The result is also strengthened by DN extraction from slick oil samples that shows a prominent pattern on the Blue and Green bands. Finally, this study can conclude that LA3 has great potential to detect oil spills visually but still requires further research for reflectance analysis by converting the DN value into reflectance.

This research discusses the quality of the website of the Library Science Study Program Universitas Islam Negeri Alauddin Makassar as a medium of information using the WebQual 4.0 method. Three measurement variables are used, namely: Usability Quality, Information Quality, and Interaction Quality. This descriptive study uses a quantitative approach in presenting data. The data were obtained through online questionnaires and website observations. The population in this study was 448,440 the number of website visitors and a sample of 100 student respondents who were determined by incidental sampling technique. The validity and reliability tests used SPSS 23 software. The results showed that the quality of usability and information quality of the website of the Department of Library Science UIN Alauddin Makassar were in the good category with a percentage of 75.1% and 73.7%. Meanwhile, the interaction quality is in the very good category with a percentage of 81.5%. So it can be said that the quality of this website is in a good category.