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Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Syarif Hidayatullah Jakarta Jl. Ir. H. Juanda No.95, Cempaka Putih, Ciputat Timur. Kota Tangerang Selatan, Banten 15412
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Applied Information System and Management
Published by Universitas Islam Negeri Syarif Hidayatullah Jakarta
ISSN : 26212536     EISSN : 26212544     DOI : 10.15408/aism
Core Subject : Education,
Languange, Linguistic, Communication & Media
Arjuna Subject : -
Articles 227 Documents
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Teknik Data Mining Menggunakan Algoritma Decision Tree C4.5 untuk Memprediksi Tingkat Kelulusan Tepat Waktu Wirawan, Chandra
Applied Information System and Management (AISM) Vol 3, No 1 (2020): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v3i1.13033

Abstract

Lulus tepat waktu merupakan salah satu indikator keberhasilan mahasiswa dalam memperoleh gelar sarjana. Lulus tepat waktu merupakan salah satu indikator penilaian terhadap kualitas perguruan tinggi, karena salah satu penilaian akreditasi Badan Akreditasi Nasioanl Perguruan Tinggi (BAN PT). Sehingga apabila tingkat kelulusan dan mahasiswa tidak seimbang, maka akan mempengaruhi penilaian akreditasi pada Program Studi dan Universitas tersebut. Pada penelitian ini peneliti membahas prediksi tingkat kelulusan tepat waktu menggunakan teknik data mining algoritma C.4.5 dengan studi kasus UIN Syarif Hidayatullah Jakarta. Hasil dari penelitian ini diperoleh Nilai akurasi setelah pengujian menggunakan confusion matrixsebesar 89.82% dengan Precision52.63% dan Recall 41.67%., mengindikasikan bahwa performa keakurasian pada percobaan tersebut bernilai cukup baik, dan Model yang dihasilkan dari decision tree pada penelitian ini adalah mahasiswa yang IPSmt 2 >3.145 maka diprediksi mahasiswa tersebut dapat lulus tepat waktu dan untuk mahasisswa yang IPsmt 2 <= 3.145 dinyatakan dapat lulus tepat waktu dan tidak dapat lulus tepat waktu apabila memenuhi kondisi sesuai dengan model decision tree yang telah dihasilkan.
Underlying Structure of Online Risks and Harm among Bangladeshi Teenagers Taher, Taslim; Suhaimi, Mohd Adam; Molok, Nurul Nuha Abdul
Applied Information System and Management (AISM) Vol 3, No 1 (2020): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v3i1.13251

Abstract

This paper gives an account of the consequences of the procedure of EFA (exploratory factor analysis) invoking online risks as well as harm information acquired by an overview of 443 adolescents in Bangladesh. The information was gathered utilizing a 42-item, adjusted Likert survey investigating the critical variables. PCA (Principal Component Analysis) with Varimax rotation was chosen by the researcher to accomplish it. Based on data, the procedure took out the crucial factors social, religiosity, psychological, online risks as well as harm. 65.594% of the variance was clarified by these nine dimensions together. The procedure of reliability analysis generated internal consistency estimates which may be considered acceptable. The range was found from 0.625 which belongs to Emotional Problems to 0.930 which belongs to Online Risks. These discoveries give comprehensive justification to build the legitimacy for the items. The presence of the components influencing altogether the young people online in Bangladesh has been identified as well.
Sistem Informasi Penilaian Angka Kredit Dosen Berbasis Web (Studi Kasus PAK Online Kopertais Wilayah I DKI Jakarta) Chotib, Ahmad Sulhi
Applied Information System and Management (AISM) Vol 3, No 1 (2020): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v3i1.16189

Abstract

Penilaian angka kredit dosen untuk kenaikan pangkat jabatan fungsional di Kopertais Wilayah 1 DKI Jakarta selama ini dilakukan dengan cara manual. Cara penilaian konvensional tersebut tentu saja sangat tidak efektif dan efisien. Para dosen yang berada di bawah binaan Kopertais sebanyak 299 yang tersebar pada 58 Perguruan Tinggi Kelembagan Islam Swasata (PTKIS) sangat kesulitan membawa dokumen yang dipersyaratkan serta letak kantor Kopertais yang relatif jauh. Selain itu staf kepegawaian dan assessor juga kesulitan menilai semua dokumen yang seringkali tidak tertata dengan rapih. Pembuatan sistem informasi penilaian angka kredit secara online ini diharapan dapat mengatasi permasalahan tersebut. Metodologi dalam pembangunan perangkat lunak ini menggunakan metode Waterfall dengan bahasa pemerograman PHP dan PostgreSQL sebagai basis data. Sementara framework PHP yang digunakan adalah Laravel. Adapun pengujian perangkat lunak ini menggunakan metode Black Box. Hasil akhir implementasi sistem ini dapat berjalan dengan baik dan sesuai dengan kebutuhan fungsional sistem.
Weighted Product dalam Sistem Pendukung Keputusan untuk Penentuan Mustahik Utami, Meinarini; Rahman, Raden Aulia; Fetrina, Elvi
Applied Information System and Management (AISM) Vol 3, No 1 (2020): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v3i1.12135

Abstract

Yayasan Qurrota Ayuni merupakan sebuah yayasan di mana di dalamnya terdapat badan zakat. Dana zakat yang ada harus diberikan kepada mereka yang memang membutuhkan dan tergolong ke dalam mustahik. Masalah yang sering dijumpai adalah cara dalam pemilihan mustahik yang masih menggunakan cara manual, sehingga sering menimbulkan masalah seperti lamanya proses pemilihan dan terjadinya salah hitung sehingga menimbulkan kurang akuratnya hasil seleksi mustahik. Untuk mendapatkan zakat tersebut maka harus sesuai dengan aturan-aturan dan kriteria-kriteria yang telah ditetapkan. Oleh sebab itu tidak semua yang mendaftar sebagai penerima zakat tersebut dapat diterima, hanya yang memenuhi kriteria atau yang diprioritaskan yang dapat menerima zakat. Karena banyaknya jumlah pendaftar untuk penerima zakat maka perlu dibangun suatu sistem pendukung keputusan yang dapat membantu menentukan siapa yang berhak dan diutamakan untuk dapat menerima zakat. Penggunaan metode Weighted Product dirasa mampu untuk menjadi alternatif penentu mustahik karena proses pemilihan dapat dilakukan dengan waktu lebih cepat dan dapat mengurangi kesalahan serta dapat memberikan alternatif terbaik dalam pengambilan keputusan. Hasil penelitian ini berupa sistem informasi pendukung keputusan penentu mustahik yang dapat membantu dalam penentuan mustahik siapa yang berhak dan diutamakan untuk dapat menerima zakat.
Knowledge Management System Untuk Meningkatkan Kualitas Tenaga Kerja Khoirullah, Mukhammad; Sugiarti, Yuni; Kumaladewi, Nia
Applied Information System and Management (AISM) Vol 3, No 1 (2020): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v3i1.7896

Abstract

Sharing knolwedge merupakan komponen penting dalam meningkatkan kualitas. Namun dalam pelaksanaan di Badan Nasional Penempatan dan Perlindungan Tenaga Kerja Indonesia (BNP2TKI), sharing knowledge menjadi bermasalah ketika yang digunakan masih dilakukan secara manual yaitu dengan bertatap muka dalam pelaksanaannya sehingga, menyebabkan kesulitan bagi pegawai maupun TKI dalam mengimplentasikannya selain itu terdapat redudansi data dalam setiap responnya dan publikasi knowledge yang tidak teratur. Tujuan dari penelitian ini adalah untuk menghasilkan Knowledge Management System (KMS) yang dapat membantu pegawai dan TKI dalam melakukan sharing knowledge agar memperoleh data atau informasi sesuai kebutuhan yaitu dengan menyediakan dokumen, video, berita dan layanan diskusi guna memenuhi kebutuhan KMS. Metode pengumpulan data yang digunakan adalah observasi, wawancara, studi pustaka, untuk pengembangan sistem metode yang digunakan Rapid Application Development (RAD) sedangkan dalam pengimplementasian KMS menggunakan Knowledge Management Process, serta perancangan KMS menggunakan pemodelan Unified Modeling Language (UML). Bahasa pemrograman yang digunakan dalam membangun sistem adalah PHP dan MySQL. Hasil dari penelitian ini adalah sebuah sistem yang dapat memudahkan sharing knowledge antar pegawai BNP2TKI dan TKI agar mendukung peningkatan kualitas TKI.
Application for Lecturer Recruitment Using Simple Additive Weighting (SAW) Method Case Study: Tanri Abeng University Jakarta Larasati, Pramitha Dwi; Irawan, Ari
Applied Information System and Management (AISM) Vol 3, No 1 (2020): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v3i1.9184

Abstract

In the selection of acceptance of lecturers at a university can be done when the selected applicants have a good competence in accordance with they’re background because this can affect the teaching service. Lecturers who have good competence has the ability for understanding the subject matter that in line with the background, extensive pieces of knowledge, be able to speak English both oral and written and be able to provide a positive example and teaching methods that are easily understood by students. This can provide a good image for the university because the selected lecturers have a good potential. To help determine the acceptance of lecturers then we needed a decision support system. One method that can be used for Decision Support System is using Simple  Additive Weighting (SAW). This method is chosen because it is able to select the best alternative from a number of alternatives, in this case, the intended alternative is to determine the acceptance of lecturers
E-Government Service for Driving Digital Creative Economy in Developing Region: Perspective of Technology Readiness Index and PLS-SEM Rahmawati, Nanes Fitri; Inan, Dedi I.; Juita, Ratna; Indra, Muhamad
Applied Information System and Management (AISM) Vol 8, No 1 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i1.45514

Abstract

E-government plays an important role in digital economic transformation by improving access to public services and driving economic growth. One implementation in West Papua Province is Rumahekraf, a digital marketing platform for creative economy players in the local region. However, the adoption of this platform is still low, and not many studies have examined factors that influence public acceptance of this service. Therefore, this study aims to identify factors that contribute to and inhibit users' intentions to adopt this platform in West Papua. We combine the Technology Readiness Index (TRI) and Technology Acceptance Model (TAM) to understand this phenomenon. Data was gathered via an online survey utilizing Google Forms, consisting of 157 merchants/business owners. The information was examined employing Partial Least Squares Structural Equation Modeling (PLS-SEM). The research indicates that innovativeness, perceived ease of use (PEOU), and facilitating conditions play an important role in increasing users’ intention to adopt Rumahekraf (R² = 59.4%). Additionally, PEOU also contributes to increased perceived usefulness (PU) (R² = 41.1%), which in turn strengthens the benefits perceived by users (R² = 55.7%). Optimism significantly affects PEOU but not usefulness. Meanwhile, insecurity and discomfort were not found to be major barriers to the adoption of this platform. This research provides insights for local government and platform development in improving the effectiveness of e-government implementation in West Papua by providing more adequate infrastructure and increasing public trust in the platform.
Challenges of Implementing Knowledge Management Systems in Agribusiness for Aglaonema Farmers Sugiarti, Yuni; Suroso, Arif Imam; Hermadi, Irman; Sunarti, Euis; Yamin, Fadhilah Bt Mat
Applied Information System and Management (AISM) Vol 8, No 1 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i1.44074

Abstract

Aglaonema plants have become an important element in people's lives, serving as home decorations and sources of income. Aglaonema cultivation is increasingly popular, opening up business opportunities for farmers. This plant is not just a hobby but a horticultural commodity with high economic value. This research aims to analyze the difficulties faced by Aglaonema farmers, from seedling to marketing. This research uses a constructivist paradigm and qualitative methods, involving 20 informants from among farmers, traders, buyers, extension workers, and farmer organizations. Data were collected through interviews, focus group discussions, and observations, with triangulation to validate the information. Data analysis was conducted using the NVivo application. The research results show that the main difficulties faced by Aglaonema farmers include unpredictable price fluctuations, limited varieties, weak communication among farmers, traditional seedling methods, and a lack of information about seed supply. These findings emphasize the need for information sharing between farmers and stakeholders to improve productivity and quality in agribusiness, in line with consumer demands and technological advancements, which can be implemented through a knowledge management system platform in the Aglaonema agribusiness supply chain.
Effect of System, Information, and Service Quality and Green IT Attitude Towards User Satisfaction on Clientele ITSM Application Bank XYZ Adzhani, Muhamad Hafidh; Sfenrianto, Sfenrianto
Applied Information System and Management (AISM) Vol 8, No 1 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i1.45669

Abstract

The banking industry is increasingly shifting toward the advanced use of information technology (IT) to enhance customer service. It is important for the audience to be able to get satisfaction when using banking services. In this case, there are several factors that will impact user satisfaction when using the application. The study's objectives are to examine how system quality affects client satisfaction with the ITSM application at bank XYZ; how user satisfaction with the ITSM application for clients at bank XYZ is impacted by the quality of the information; how client satisfaction with the ITSM application at bank XYZ is impacted by service quality; and how client ITSM application at bank XYZ is impacted by a green IT attitude toward satisfaction. The research employs a quantitative approach, utilizing SEM PLS analysis. The result shows that the system quality has a positive and substantial impact on user satisfaction with a p-value of of 0.021 < 0.05; the information quality has a positive and significant impact on user satisfaction with a p-value of 0.000 < 0.05; the service quality has a negative and significant impact on user satisfaction with a p-value of 0.044 < 0.05; and green attitude has a positive impact on user satisfaction with a p-value of 0.000 < 0.05. The research results indicate that system quality, information quality, and green attitude positively influence user satisfaction, whereas service quality negatively influences it.
Web-Based Decision Support System for Selecting Exemplary Teachers using TOPSIS Method Sumardiono, Sumardiono; Ismail, Norhafizah; Shadiq, Jafar; Nida, Zahra Qotrun; Solikin, Solikin; Suryani, Riska
Applied Information System and Management (AISM) Vol 8, No 1 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i1.45488

Abstract

This study creates an online Decision Support System (DSS) using the TOPSIS algorithm to fairly choose outstanding teachers from vocational schools in Bekasi City, which has 87 state and private vocational secondary schools with about 62,000 students. To tackle the current biased selection process, our research uses a multi-criteria approach that looks at discipline (25%), travel costs (20%), personality (20%), teaching administration (15%), and learning achievements (20%). Targeting this substantial educational population, our research addresses the current subjective selection process by implementing a multi-criteria approach evaluating discipline (25%), travel costs (20%), personality (20%), teaching administration (15%), and learning achievements (20%). The TOPSIS method was selected for its proven effectiveness in ranking alternatives based on geometric distance from ideal solutions, particularly valuable in large-scale educational contexts. Analysis of 14 teacher candidates from SMK Bina Karya Mandiri demonstrated the system's precision, with Didi Saputra, S.Pdi, emerging as top-ranked (preference value: 0.63). When extrapolated to Bekasi's 87 SMKs, the model shows potential to standardize teacher assessment citywide, reducing regional disparities in recognition practices. The web-based platform enhances accessibility, allowing principals across 21 sub-districts to input localized data while maintaining centralized benchmarking. Key findings reveal (1) discipline and personality collectively account for 45% of exemplary status determination, (2) cost-related factors show inverse correlation with remote school nominations, and (3) system implementation could reduce selection time by ≈68% compared to manual methods. This study contributes both a scalable framework for educational DSS and empirical data on vocational teacher excellence criteria in urban Indonesia.

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