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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Matrik JMM (Jurnal Masyarakat Mandiri) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURNAL PENDIDIKAN TAMBUSAI Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Informatika Global JSAI (Journal Scientific and Applied Informatics) Jurnal Abdimas Mandiri Jurnal Pemerintahan dan Politik Reswara: Jurnal Pengabdian Kepada Masyarakat BERNAS: Jurnal Pengabdian Kepada Masyarakat Insyst : Journal of Intelligent System and Computation TIERS Information Technology Journal AKM: Aksi Kepada Masyarakat Jurnal Mandiri IT Indonesian Community Journal Klik - Jurnal Ilmu Komputer Malcom: Indonesian Journal of Machine Learning and Computer Science JURNAL PENGABDIAN PENDIDIKAN MASYARAKAT (JPPM) Journal of Information Systems Management and Digital Business Glow: Jurnal Pengabdian Kepada Masyarakat
Terttiaavini, Terttiaavini
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Journal : Jurnal Informatika Global

 1 
Knowledge Mangement System sebagai Dasar Pengembangan Sistem Informasi Kinerja Dosen Terttiaavini Terttiaavini; Fakhry Zamzam; Muhammad Ramadhan; Tedy Setiawan Saputra
Jurnal Informatika Global Vol 11, No 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v11i2.1200

Abstract

In the current digitalization era, the application of knowledge management systems can improve the performance of information systems for the better. The knowledge management system is very important to be implemented in higher education. Having different abilities in implementing the tri dharma of higher education, therefore it is necessary to share knowledge to increase the career advancement of lecturers. The development of a lecturer performance information system based on a knowledge management system is an information system used to carry out community service activities. This system can also generate information on the achievement of targets every semester. The target achieved will be used for determining rewards and punishments. The method used for software development is a waterfall. The classical method is still often used because the stages are simpler and easier to implement. Lecturer performance information systems can help programs and supervise, run and improve the performance of lecturers at Universitas IGM
MEMBANGUN PROTECTION ASSISTANCE WEBSITE (PAW) UNTUK MENDETEKSI KECURANGAN PADA SITUS E-COMMERCE Mustafa Ramadhan; Maya Amelia; Terttiaavini Terttiaavini
Jurnal Informatika Global Vol 7, No 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (748.084 KB) | DOI: 10.36982/jiig.v7i1.114

Abstract

The current Internet usage is increasing. This becomes an attraction for investors to develop a virtual world business. The term e-commerce is a web application sites that provide business services. Increased transaction penjulan virtual world inviting people to commit a crime. The difficulty of detecting sites that indicated fraud and lax government regulations become obstacles in memberatas crime in cyberspace. One type of crime that often occurs is a fraud transaction. Variety crimes committed in fraud transaction is the purchase of goods that are not in accordance with the order (specification drawings), goods that were never sent, or the goods are delivered in damaged condition etc. To overcome these necessary precautions. One of them is building a website application assistance Protection (PAW) which can provide information about the legality of an e-commerce site. Basic web quality assessment using the method and problem-solving techniques using decesion tree method. While tTahap software development using Web Development Life Cycle. PAW is an application that contains questions that lead to the testing of e-commerce sites. PAW can be an effective detection applications. PAW is built with the concept of smart application, user friendly and easy to use, so it can be used by many users.Key word : E-commerce, Webequaly, Web Development Life Cycle, Decision Tree
Analisa Akurasi Penggunaan Metode Single Eksponential Smoothing untuk Perkiraan Penerimaan Mahasiswa Baru Pada Perguruan Tinggi XYZ Terttiaavini Terttiaavini; Tedy Setiawan Saputra*
Jurnal Informatika Global Vol 11, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v11i1.1075

Abstract

AbstractHigher education has a large and growing data repository, such as new student admission data (PMB) at a University. PMB is held every year, but the data is only used once. The data is only stored in the repository and is not useful. Through data mining science, the data can be extracted into useful information for decision making. One of the goals of data mining is to predict the future. One of the targets of private tertiary institutions is how to increase the number of new student admissions each year to fit the established targets. Usually, targets are set based on estimates without carrying out quantitative analysis. This often results in not achieving the expected target. Achieving targets is related to success in managing academics. Targeting is part of forecasting activities that should have a pattern/formula calculated quantitatively. The purpose of this research is to predict the number of new student admissions at Higher education  XYZ for the next ten years. Data obtained from the admission of new students ten years earlier, from 2009 to 2019. The method used is the single exponential smoothing method. To produce the best results of predictions, and evaluation of prediction results is carried out using the Mean absolute Percentage error (MAPE) method. The smallest MAPE = 0.22 with α = 0.9. with MAPE values below ten, the predicted number of student admissions is sufficiently good (Reasonable).Keywords : Prediction, single eksponential smoothing, admission of new students.AbstrakPerguruan tinggi memiliki repository data yang besar dan terus bertambah, seperti data Penerimaan mahasiswa baru (PMB) pada suatu Perguruan Tinggi.  PMB dilaksanakan setiap tahun, namun data hanya dimanfaatkan satu kali. Data tersebut hanya tersimpan didalam repository dan tidak bermanfaat. Melalui ilmu data mining, data tersebut dapat diekstrak menjadi informasi yang berguna untuk pengambilan keputusan. Salah satunya tujuan data mining adalah untuk memprediksi keadaan dimasa. Salah satu target Perguruan tinggi swasta adalah bagaimana meningkatkan jumlah penerimaan mahasiswa baru setiap tahun agar sesuai dengan target yang telah ditetapkan. Biasanya target ditetapkan berdasarkan perkiraan tanpa melakukan analisa kuantitaif. Hal ini sering menyebabkan tidak tercapainya target yang diharapkan. Pencapaian target berhubungan dengan keberhasilan dalam mengelolah akademik. Penentuan target merupakan bagian dari kegiatan peramalan yang seharusnya memiliki pola  / rumusan yang dihitung secara kuantitatif. Tujuan penelitan ini adalah untuk memprediksi jumlah penerimaan mahasiswa baru di Perguruan Tinggi XYZ untuk sepuluh tahun kedepan. Data diperoleh dari penerimaan mahasiswa baru sepuluh tahun sebelumnya yaitu dari tahun 2009 s.d 2019. Metode yang digunakan adalah metode single exponential Smoothing. Untuk menghasilkan hasil perdiksi yang terbaik, maka dilakukan evaluasi hasil prediksi dengan menggunakan metode Mean absolute Percentage error (MAPE). MAPE terkecil = 0,22 dengan α = 0.9.  dengan  nilai MAPE dibawah sepuluh maka prediksi jumlah penerimaan mahsiswa sudah cukukp baik (Reasonable).Kata Kunci :  Prediksi, Pemulusan eksponensial tunggal, Penerimaan Mahasiswa baru.
Sistem Penilaian Kinerja Dosen menggunakan Decision Maker Respondent Opinion Model Terttiaavini Terttiaavini; Ermatita Ermatita
Jurnal Informatika Global Vol 13, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v13i1.2041

Abstract

The subjectiveness of the performance assessment can not be avoided. The criteria determined for the performance assessment with human cognition is the subjectiveness phenomenon.  This condition is being a challenge for the researcher to develop the performance assessment technique objectively.  This method is a new approach to determine the performance assessment indicator with involving the employee to result in the realistic assessment.  This model utilized the respondent opinion as a decision-maker to determine the relevance criteria and sub-criteria in the target achievement.  The lecturer performance assessment is designed by utilizing the Decision-maker respondent opinion model (DMROM) algorithm. It is applicable to the criteria which contain the subjectiveness on the unlimited level.  The data is arranged in the encoded item table to make it easy for the process of the calculation and sub-criteria which reach the support minimum limit. The algorithm is utilized the simple formula which could count the weight of each criterion and sub-criteria to the last level. The weight value on each sub-criteria will be accumulated as a sign of doing activities. The final result of this model is the list of the lecturer performance assessment who fulfilled the target or not as an input for the leader to take the decision.Keywords:  Opini responden, Decision maker respondent opinion model, performance appraisal  Subjektivitas pada penilaian kinerja tidak dapat dihindarkan. Penetapan kriteria untuk penilaian kinerja dengan kognisi manusia merupakan fenomena subjektif. Hal ini menjadi tantangan bagi peneliti untuk mengembangkan teknik penilaian kinerja secara objektif. Cara ini merupakan pendekatan baru untuk menentukan indikator penilaian kinerja dengan melilbatkan karyawan (responden) agar menghasilkan penilaian yang lebih realistis. Model ini menggunakan opini responden sebagai pengambil keputusan untuk menentukan kriteria dan subkriteria yang relevan dalam pencapaian target. Penilaian kinerja dosen dibangun dengan menggunakan algoritma Decision maker respondent opinion model (DMROM). Algoritma DMROM mampu diterapkan pada kriteria yang memiliki subkriteria pada level tak terbatas. Data disusun dalam Encoded item table untuk memudahkan proses perhitungan dan seleksi subkriteria yang mencapai batas minimum support. Algoritma ini juga menggunakan rumus sederhana yang dapat menghitung bobot pada masing-masing kriteria dan subkriteria di level ke-n. Nilai bobot pada masing-masing subkriteria akan diakumulasikan sebagai tanda melaksanakan kegiatan. Hasil akhir model ini adalah daftar penilaian kinerja dosen yang memenuhi target atau tidak sebagai masukan  bagi pimpinan  untuk mengambil keputusan.  Kata Kunci :  Opini responden, Decision maker respondent opinion model, Penilaian kinerja   
Sistem Informasi Problem Report Technical Support Pada PT. Bank Pembangunan Daerah Sumatera Selatan Dan Bangka Belitung Berbasis Website Agustina Heryati; Darmawan Susilo; Iski Zaliman; Mulyati Mulyati; A Taqwa Martadinata; Candra Setiawan; Terttiaavini Terttiaavini
Jurnal Ilmiah Informatika Global Vol. 13 No. 3
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v13i3.2694

Abstract

PT Bank Sumsel Babel is one of the most developed regional banks in the archipelago. Bank Sumsel Babel also provides a variety of investment products, such as Depati, Demang, Telepathy, Pesirah Savings (Local Potential Activator), money transfers with Western Union, Debit Cards, export-import transactions, and ATM services. This research aims to help PT. Bank Sumsel Babel in dealing with technical support report problems. The current problem is that technical support reports independently and manually, causing delays and scattered reports. This reporting is the most important thing because the data is used for internal and external audit purposes and seeing the team's performance in solving the many problems that come in are all summarized in a monthly and annual report. Website problem report technical support is the best solution so that there are no delays in reporting and logs of solving problems that have been resolved can also be used by personal teams in solving new problems so that they can save time solving problems and a list of problem positions in open positions can be monitored by managers, administrators and the leader of the file section reports needed in audit requirements can be provided quickly.Keywords: Problem Report, Website, PT Bank Sumsel Babel
Co-Authors Ade Dea Doyosy Adelia Rahayu Agustina Agustina Heryati Agustina Heryati Agustina Heryati Heryati Ahmad Sanmorino Ajeng Oktatriani Akbar, M Dani Andiki Sianipar Anggi Putri Juniarti Annisa Kurnia Antoni, Darius Asmawati Asmawati Asmawati Asmawati Astuti, Lastri Widya Cahyani, Septa Candra Setiawan Cindy Destyana Putri Darmawan Susilo Derra Legiana Chintiya Dona Marcelina Eliya Berliana Endang Sri Lestari Endang Sri Lestari Ermatita - Evi Purnamasari Fadiya Faradita Fakhry Zamzam Fauziah Afriyani Fellyanus Habaora Fidya Nur Syabitha Fitriyana, Ayu Habibillah, Amri Harsi Romli Harsi Romli Harsih Rianto Hartati, Lesi Heryati, Agustina Indah Permatasari Indah Pratiwi Putri Indah Sukmawati Inessia Inessia Isabella, Isabella Iski Zaliman Iski Zaliman Jefirstson Richset Riwukore K.Ghazali Kartina, Riza Lastri Widya Astuti Lesfandra Lesfandra Lesfandra, Lesfandra Lesi Hertati Lili Syafitri, Lili Lyra Ananda Saputri M Amaruna Sahona M Ravensky Taro Danayaksa Marcelina, Dona Marnisah, Luis Martadinata, A. Taqwa Masroni Dedi Kiswanto Maya Amelia Mody Sertian Amanda Muda, Seftia Putri Muhammad A. A. Hakim Muhammad Ramadhan Mulyati Mulyati Mulyati Mulyati Mustafa Ramadhan Mustika, Suci Permata Nadila Nurhalizah Ningsih Wahyuni Nur Arminarahmah Nur Fitriyani Sahamony Oktariani, Putri Pratama, Alga Wahyu Pratiwi Putri, Indah Purnamasari, Evi Putri Tsabita Putri, Indah Pratiwi Refki Saputra Rendra Gustriansyah Resti Wulandari Roni Sumari Hutabarat Sabrina Salsabila Putri Salbani Salbani Sanawi, Fakhri Saputra, Tedy Setiawan Seftia Putri Muda Sella Oktania Septa Cahyani Silvia Kardinata Siti Komariah Hildayanti, Siti Komariah Suntana, Muhammad Yunus Thoiyibah Islamia Tri Septa Yulandari Trisna Hardianto Ulfa Fitriyani Yeti Friyani Yossy Andri Ani Yulius, Yosef Zanetti Julyah Berliana Perdana