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All Journal International Journal of Business, Law, and Education J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Hendarno, Ari
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Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Neuroscience Social Sciences Other

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Factors Affecting The Readiness Of Sharia Paylater Implementation At Universitas Negeri Jakarta Awaluddin, Rifaat Imappaganti; Indiyah, Fariani Hermin; Hendarno, Ari
International Journal of Business, Law, and Education Vol. 5 No. 1 (2024): International Journal of Business, Law, and Education
Publisher : IJBLE Scientific Publications Community Inc.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56442/ijble.v5i1.387

Abstract

One of the results of technological developments that are being discussed in various parts of the world lately is Financial Technology (Fintech). As an innovation in the financial sector in non-bank financial institutions that utilize information technology as a tool to reach consumers. Make it easier for humans in the transaction process between buyers and sellers and can anticipate fraud in the transaction process. This study aims to examine the factors that affect  the readiness of the  implementation  of sharia Paylater within the scope of Jakarta State University. These factors are; (1) optimism (2) innovasian; (3) discomfort; (4) insecurity; (5) perceived usefulness; (6) perceived ease of use; and (7) organizational culture. The method used in this study is a quantitative approach, using scale instrument tools.   This method is used to determine consumer readiness to use the Paylater payment system  using  the Technology Readiness Acceptance Model (TRAM). The population of this study was all employees of Jakarta State University as many as 1714 respondents, consisting of civil servants and non-civil servants. After sampling was carried out, 95 respondents were obtained. Data analysis techniques using  smartPLS software, are carried out to make measurements, both measurement models and structural models. The results of structural model analysis, as an analysis to determine the relationship between constructs hypothesized by researchers based on established criteria, show that of the 11 hypotheses proposed, there are 4 (four) hypotheses that are not significant. The four insignificant hypothetical relationships are; (1) INS - PU; (2) INS - PEU; (3) PEU - IU; and OC - IU. The four relationship models are issued in the model to describe the factors that affect the readiness of sharia paylater implementation at Jakarta State University.
FAKTOR-FAKTOR YANG MEMENGARUHI INTENTION TO USE DARI KNOWLEDGE SHARING SYSTEM (KSS) DI LINGKUNGAN UNIVERSITAS DENGAN MEMERHATIKAN FAKTOR-FAKTOR YANG MEMENGARUHINYA (USER PERSPECTIF) Hendarno, Ari
J-KOMA : Jurnal Ilmu Komputer dan Aplikasi Vol 1 No 1 (2017): J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/j-koma.v1i1.6223

Abstract

Knowledge Sharing System (KSS) telah banyak diterapkan di beberapa universitas di Indonesia. Tujuan penerapannya adalah untuk mempermudah individu-individu yang ada di universitas dapat saling berbagi knowledge. Pada kenyataannya, banyak universitas di Indonesia belum menerapkan KSS, bahkan ada universitas yang sudah menerapkan tetapi user yang menggunakannya sedikit. Banyak hal yang dapat menyebabkan hal tersebut terjadi dan muncul sebuah pertanyaan, apa saja faktor-faktor yang membuat user tidak mau menggunakannya? Lalu, KSS seperti apa yang menjadi standar KSS untuk universitas? Pada penelitian ini akan dibahas hal-hal tersebut hingga ke pembuatan tool untuk assessment KSS untuk universitas.
Perancangan Sistem Informasi Pengelolaan Zakat di Masjid Al-Ihsan Kelurahan Cipinanh Arrosyid, Ilham; Irzal, Med; Hendarno, Ari
J-KOMA : Jurnal Ilmu Komputer dan Aplikasi Vol 7 No 1 (2024): J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/j-koma.v7i1.02

Abstract

Populasi umat Islam di Indonesia sejumlah 219.960.000 jiwa atau sekitar 87,1% dari keseluruhan penduduk. Semakin berkembangnya teknologi, memunculkan banyak kemudahan bagi umat muslim untuk menjalankan ibadahnya. Sistem informasi pengelolaan zakat di Masjid Al-Ihsan merupakan sebuah langkah dalam membantu umat Islam dalam menjalankan ibadah menunaikan zakat. Sistem informasi pengelolaan zakat di Masjid Al-Ihsan Kelurahan Cipinang termasuk aplikasi berbasis website yang dibangun menggunakan metode prototype model dengan framework Codeigniter 4.  Pada akhir pengembangan yang dilakukan, dilakukan sebuah pengujian dengan Usability Testing untuk menentukan kelayakan sistem yang dibuat. Hasil pengujian dapat disimpulkan bahwa sistem informasi pengelolaan zakat di Masjid Al-Ihsan Kelurahan Cipinang, dapat berfungsi dengan baik dengan presentase kelayakan 90%.
Factors Affecting Behavioral Intention of Delivery Drones During the COVID-19 Pandemic Hendarno, Ari; Med Irzal
J-KOMA : Jurnal Ilmu Komputer dan Aplikasi Vol 6 No 1 (2023): J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/j-koma.v1i1.40106

Abstract

Delivery of goods which is usually done by face to face is advised not to do. Physical distancing is recommended by World Health Organization (WHO). Physical distancing helps limit the spread of COVID-19 this means we keep a distance of at least 1m from each other and avoid spending time in crowded places or in groups (WHO, 2020). A possible alternative is to make deliveries using drones. It can keep the sender and receiver from seeing each other face to face. The final decision on using the drone delivery service rests with the customer. This will be closely related to customer's behavioral intention. This study aims to find out what factors influence behavioral intention to use drone delivery during the COVID-19 pandemic. The factors analyzed were function, cognition, hedonic motivation, incentive, social benefits, and health benefits. These factors are tested and analyzed which influences behavioral intention. The results obtained are function, cognition, and health benefits. The significance level in this study is 0.1 with a limit T-value of 1.29007.
Sentiment Analysis of Indonesia’s Free School Lunch Policy Using LSTM and Word2Vec on YouTube Comments Anderson, Boban; Irzal, Med; Hendarno, Ari
J-KOMA : Jurnal Ilmu Komputer dan Aplikasi Vol 7 No 2 (2024): J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/j-koma.v7i2.04

Abstract

This study analyzes public sentiment toward Indonesia’s free school lunch policy using sentiment classification on YouTube comments. Data were collected from 5,640 videos, resulting in 485,097 comments, with 392,576 comments used for training and testing. The dataset was preprocessed through cleaning, tokenization, normalization, stopword removal, and stemming. Word2Vec was used for word embedding, and sentiment classification was performed using an LSTM neural network. The model achieved 82.56% accuracy on training data but 57.00% on manually labeled test data. The final sentiment distribution shows that negative sentiment slightly dominates, reflecting public skepticism about budget use and program effectiveness. Frequent keywords such as Indonesia, Prabowo, school, and corruption highlight key concerns. These results provide valuable insights for policymakers to improve communication and address public concerns. Future research should expand data sources, refine labeling, and test hybrid deep learning models to enhance classification performance.
Co-Authors Anderson, Boban Arrosyid, Ilham Awaluddin, Rifaat Imappaganti Indiyah, Fariani Hermin Irzal, Med Med Irzal