Developing an expert system application in providing an overview of the interests of students to help decision making interests in the vocational field so that they are right on target in choosing a major. In this study, using the Certainty Factor method and the Fordward Chaining method where this expert system can help experts identify vocational interests based on the characteristics of vocational interest in students. The personality types used to determine the type of vocational interest are Tangible, Thinking, Flexible, and Entrepreneur. The results of system calculations with expert decisions are worth 80% of the 4 test data, so a good level of accuracy is obtained. The resulting expert system can help students quickly provide an overview of vocational interest in making department decisions in continuing higher education, can carry out online consultations, document files, and can be used as a consultation portal for students.

Marketing of conventional housing will need money, time and considerable power  while the consumers still need detailed information before making purchases home. Seeing a lot of promising things out of the utilization of technology, especially information technology. Developments in information technology have brought many changes to the sector of the business activity is run in the real world. The changes are marked by a number of efforts of the business activity sector which was originally based in the real world, then develop into the cyberspace. Given the extent of the intended market of Filano Land is quite spacious. At this time the system is applied to Filano Land has made the development of the promotion sector on the web-based but the information has given incomplete that has required by prospective customers. Seeing this, should be done improvements in terms of sales information and promotion of products on Filano land.

Developing an expert system application in providing an overview of the interests of students to help decision making interests in the vocational field so that they are right on target in choosing a major. In this study, using the Certainty Factor method and the Fordward Chaining method where this expert system can help experts identify vocational interests based on the characteristics of vocational interest in students. The personality types used to determine the type of vocational interest are Tangible, Thinking, Flexible, and Entrepreneur. The results of system calculations with expert decisions are worth 80% of the 4 test data, so a good level of accuracy is obtained. The resulting expert system can help students quickly provide an overview of vocational interest in making department decisions in continuing higher education, can carry out online consultations, document files, and can be used as a consultation portal for students.

Gambir adalah tanaman perdu semi panjat yang dapat merambat hingga 1-3 meter dengan batang berbentuk segi empat dan daun berhadapan yang berwarna coklat muda. Tanaman ini digunakan sebagai bahan utama dalam penyirihan dan merupakan salah satu hasil pertanian di Sumatera Barat. Namun, produksi gambir mengalami kualitas produksi yang rendah, sehingga menurunkan daya jualnya. Metode Technique for Others Preference by Similarity to Ideal Solution (TOPSIS) digunakan untuk menentukan peringkat alternatif dengan mempertimbangkan solusi ideal dan terburuk dan mempertimbangkan kelebihan dan kekurangan masing-masing alternatif. Metode ini digunakan sebagai penentu kualitas gambir dalam bentuk perankingan yang dapat membantu dalam memilih kualitas gambir terbaik untuk menetapkan harga. Kriteria yang digunakan untuk menilai kualitas gambir adalah kandungan katekin, air abu, warna, dan kepadatan. Hasil penelitian menunjukkan bahwa ada tiga alternatif yang memiliki kualitas gambir di atas alternatif standar dengan nilai preferensi sebesar 0.494. Salah satunya adalah alternatif P1, yang merupakan alternatif gambir dengan kualitas terbaik dengan nilai kedekatan alternatif terhadap solusi ideal sebesar 0.689. Namun, terdapat dua alternatif yang memiliki kualitas di bawah standar, yaitu P5 dan P6 dengan nilai preferensi masing-masing 0.492 dan 0.149. Hasil penelitian ini dapat memberikan informasi yang berguna dalam penentuan harga sesuai dengan kualitas gambir.