cover
Contact Name
Eva Khudzaeva
Contact Email
eva.khudzaeva@uinjkt.ac.id
Phone
+6282114627822
Journal Mail Official
aism.journal@uinjkt.ac.id
Editorial Address
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
Location
Kota tangerang selatan,
Banten
INDONESIA
Applied Information System and Management
ISSN : 26212536     EISSN : 26212544     DOI : 10.15408/aism
Core Subject : Education,
Arjuna Subject : -
Articles 227 Documents
Performance of Multi-Criteria Recommender System Using Cosine-Based Similarity for Selecting Halal Tourism Rizqi Aulia Nadhifah; Yunifa Miftachul Arif; Hani Nurhayati; Linda Salma Angreani
Applied Information System and Management (AISM) Vol 5, No 2 (2022): 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.v5i2.25035

Abstract

Tourism is an activity where people or groups travel voluntarily for relaxation, seeking entertainment, or enjoy cultural diversity both within the city, outside the city, or even abroad. For traveling, information about halal tourism is essential that tourists must know. Tourists can contact a tour guide to find information and recommendations for halal tourism. However, it will cost quite a bit and need for a recommendation system to obtain recommendations and make it easier for tourists to determine which halal tourism to visit. This study aims to obtain the Multi-Criteria Recommender System's (MCRS) performance using cosine-based similarity to select halal tourism in Batu City. MCRS extends the traditional approach by using more than one scoring criteria to generate recommendations. The implementation of MCRS using cosine-based similarity succeeded in producing the five highest recommendations for halal tourist attractions, which were implemented in a game-based system. Through recommendation accuracy testing on two items, three items, four items, and five tourist attractions items, we obtained an average accuracy is 77,95%.
Optimalisasi Kinerja Website Badan Pusat Statistik: Pendekatan Customer Satisfaction Index (CSI) dan Importance and Performance Analysis (IPA) Emi Musdalifah Sahara; Dian Rizqi Khusnul Khotimah; Dinar Sedah Arum Nian Sasirangan
Applied Information System and Management (AISM) Vol 5, No 2 (2022): 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.v5i2.25464

Abstract

Badan Pusat Statistik (BPS) berperan dalam memberikan pelayanan publik untuk penyediaan data dan informasi statistik, salah satunya melalui website BPS. Kepuasan pengguna website merupakan salah satu tolak ukur dari keberhasilan penyelenggaraan pelayanan publik tersebut. Penelitian ini bertujuan untuk memperoleh gambaran persepsi, masukan, serta harapan masyarakat terhadap website BPS melalui Survei Kepuasan Pengguna Website. Data yang diperoleh dari survei tersebut dianalisis dengan menggunakan metode Customer Satisfaction Index (CSI) dan Importance and Performance Analysis (IPA). Hasil dari penelitian adalah taraf kepuasan pengunjung website BPS memiliki angka persentase sebesar 78,68%, yang termasuk kategori “Puas” dalam kriteria CSI. Namun, pada masing-masing aspek, masih terdapat gap negatif antara tingkat kepentingan dan kepuasan pengguna website. Oleh karena itu, untuk menentukan skala prioritas dalam usaha perbaikan website, digunakan metode Importance and Performance Analysis (IPA). Hasil analisis IPA menunjukkan bahwa masih terdapat lima aspek yang perlu ditingkatkan dan menjadi prioritas utama perbaikan website, yaitu: kelengkapan metadata, kesesuaian produk, kemudahan navigasi, kemudahan pencarian produk, dan kehandalan fungsi pencarian. Sementara itu, terdapat empat aspek yang sudah baik dan perlu dipertahankan yaitu: kemutakhiran produk, kemudahan memperoleh produk, ketepatan jadwal rilis dan kemudahan mengunduh produk.
Evaluating Social Technology Utilization on Employee Performance Using Positivism Paradigm Muhammad Qomarul Huda; Romi Irawan; Nia Kumaladewi; M. Yaqoob Koondhar
Applied Information System and Management (AISM) Vol 5, No 2 (2022): 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.v5i2.22978

Abstract

Employees who are performing are assets in an organization to improve effectiveness and efficiency of work. The use of Social Technology has experienced a significant increase in the context of the company to help employee performance. This study proposes a model of employee performance measurement in terms of the use of Social Technology. The method used is a quantitative method with an extended Social Technology model. This model has seven variables: collaboration, communication, frequency of access, resource sharing, usefulness as independent, employee performance as dependent and social technology use which is the mediator. In its testing using PLS-SEM data analysis technique with SmartPLS 3.0. The test results show that there are six hypotheses tested, with five hypotheses accepted or influential and one hypothesis not accepted. Five accepted hypotheses prove that collaboration, communication, resource sharing, and usefulness have a significant effect on the use of Social Technology use and the use of Social Technology use which has a significant relationship to employee performance.
E-Supply Chain Management Menggunakan Metode Rapid Application Development (RAD) pada Unit Usaha Budidaya Hidroponik Ari Lathifah; Evy Nurmiati
Applied Information System and Management (AISM) Vol 5, No 2 (2022): 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.v5i2.24116

Abstract

Peningkatan konsumsi sayuran hidroponik memberikan peluang besar bagi usaha sayuran hidroponik menjadi bidang bisnis yang berkembang pesat. Unit usaha Puji Hidroponik adalah salah satu unit usaha yang bergerak di bidang produksi dan distribusi sayuran hidroponik yang berlokasi di Kabupaten Tangerang. Pengelolaan informasi yang terjadi di Puji Hidroponik belum berjalan secara optimal dan belum terintegrasi secara menyeluruh. Dalam mengumpulkan informasi, Puji Hidroponik masih melakukan cara manual dengan menghubungi satu persatu supplier terkait ketersediaan bahan baku. Hal ini menyebabkan ketidakpastian terhadap ketersediaan bahan baku dan menghambat proses produksi sayuran hidroponik. Penelitian ini bertujuan untuk merancang sistem yang tepat untuk unitusaha Puji Hidroponik dengan menggunakan metode pengembangan sistem Rapid Application Develeopment (RAD). Penelitian ini menghasilkan sebuah electronic supply chain yang memudahkan dalam mengambil kebijakan yang berkaitan dengan supplier dan pendistribusian sayuran kepada pelanggan.
Integrasi Model: Uji Empiris Keberhasilan Perdagangan Elektronik Berbasis Individu (C2C E-Commerce) Aries Susanto; Qurrotul Aini; Aida Fitriyani
Applied Information System and Management (AISM) Vol 6, No 1 (2023): 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.v6i1.25383

Abstract

Perdagangan elektronik berbasis individu (C2C e-commerce) meningkat secara signifikan, di mana keberhasilan sistem informasi dipengaruhi faktor dan kondisi seperti keyakinan, sikap dan perilaku. Penelitian ini bertujuan menguji empiris faktor yang memengaruhi keberhasilan sistem informasi C2C e-commerce dengan model integrasi. Metode penelitian yang digunakan adalah kuantitatif dengan random sampling pada individu pengguna website Kaskus. Adapun pengumpulan data dengan penyebaran kuesioner secara online. Model usulan pengukuran yang digunakan adalah integrasi model keberhasilan sistem informasi DeLone & McLean, dengan penambahan variabel trust dan loyalty dengan 11 hipotesis penelitian. Hasil penelitian ini adalah 8 hipotesis terbukti signifikan dan 3 hipotesis tidak signifikan (kualitas sistem terhadap kepercayaan, kualitas informasi terhadap kepuasan, dan kualitas layanan terhadap kepercayaan), dimana uji path coefficient di bawah 0,1. Integrasi model keberhasilan penerapan SI DeLone and McLean, kepercayaan, dan loyalitas dapat menjadi model acuan yang layak digunakan sebagai kerangka pengukuran penggunaan suatu sistem berbasis teknologi seperti perdagangan elektronik.
Analisis Validitas dan Reliabilitas Sosial Budaya dan Organisasi terhadap Adopsi E-Commerce UMKM Tangerang Selatan Muhammad Qomarul Huda; Rinda Hesti Kusumaningtyas; Qurrotul Aini; Nur Aeni Hidayah; Icha Yulian
Applied Information System and Management (AISM) Vol 6, No 1 (2023): 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.v6i1.25198

Abstract

Tingginya perkembangan teknologi informasi, sejalan dengan tingginya terobosan yang dapat dilakukan bagi masyarakat. E-commerce menjadi salah satu contoh teknologi yang sudah berkembang dan banyak membantu masyarakat hingga saat ini. Pelaku UMKM banyak yang sudah beralih menggunakan e-commerce sebagai media penjualan namun dalam penerapannya masih memiliki hambatan. Penelitian ini bertujuan untuk menginvestigasi hambatan sosial budaya dan organisasi bagi pelaku UMKM Tangerang Selatan dengan menggunakan framework hambatan adopsi e commerce Zaied. Berdasarkan hasil uji validitas untuk keseluruhan item yang diajukan menunjukkan hasil yang valid. Kemudian hasil uji reliabilitas untuk mengetahui konsistensi jawaban dari responden mendapatkan nilai 0,830 dengan kata lain memiliki nilai yang reliabel. Penelitian ini memberikan hasil bahwa adanya hambatan pada nilai, keyakinan, pelaku UMKM dalam menerapkan e-commerce dengan angka sebesar 58% pada sosial & budaya. Hambatan lainnya pada organisasi mengenai kurangnya dukungan manajemen dan memilki keterbatasan akses informasi dengan angka sebesar 63% dalam menerapkan e-commerce sebagai media penjualan.
Classification of Sign Language in Real Time Using Convolutional Neural Network Moh. Badri Tamam; Hozairi Hozairi; Miftahul Walid; Januario Freitas Araujo Bernardo
Applied Information System and Management (AISM) Vol 6, No 1 (2023): 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.v6i1.29820

Abstract

Communication between people is essential for daily life activities. However, humans are created with their own strengths and weaknesses. One of them is the difficulty of communication and interaction for people with hearing and speech impairments. Sign language is a language for people who have difficulty hearing and speaking. However, sign language is not popular in society, and people who have it will have more difficulties. This research aims to classify hand gestures of sign language into letters using a convolutional neural network (CNN). The dataset is obtained from Kaggle, with a total of 34,627 data divided by the ratio of training and testing data of 80:20. From the test results, the letters of the alphabet that can be translated are: A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, S, T, U, V, W, X, Y, and Z. Furthermore, validation accuracy is obtained. In this study, a very high validation accuracy was obtained. The easiest letters to guess are V and N, while the most difficult letters to guess are n, c, j, and z. With different preprocessing, the loss value can be reduced, giving a higher accuracy of 95.4%.
Selecting Tourism Site Using 6 As Tourism Destinations Framework Based Multi-Criteria Recommender System Yunifa Miftachul Arif; Duvan Deswantara Putra; Nauman Khan
Applied Information System and Management (AISM) Vol 6, No 1 (2023): 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.v6i1.25140

Abstract

Batu City is a place with many types of tourism and had many tourists in 2019. However, there was an imbalance of tourist attractions visited from the total number. Tourists are only fixated on famous tourist spots. Therefore, a recommendation system is needed that can provide recommendations for tourists. In this study, we use the Multi-Criteria Recommender System (MCRS) method based on the rating value between users to obtain recommendations from the system regarding selecting tourist destinations. The authors use the 6 As Tourism Destinations (6AsTD) framework for user assessment criteria in this study. The framework consists of six indicators that assess the success of tourism destinations, including attractions, accessibility, amenities, support services, activities, and available packages. The six components are considered the key to the success of a tourist destination under the marketing approach. This study aimed to obtain a recommendation system for selecting tourist destinations using the multi-criteria concept based on the 6AsTD framework. Based on the experimental results, the proposed method has an accuracy rate of up to 72%.
TOE Framework for E-Commerce Adoption by MSMEs during The COVID-19 Pandemic: Can Trust Moderate? Yoga Religia; Muhamad Ekhsan; Miftakul Huda; Anton Dwi Fitriyanto
Applied Information System and Management (AISM) Vol 6, No 1 (2023): 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.v6i1.30954

Abstract

Currently, there are still many MSMEs in the regions that have not been connected to the digital ecosystem. This results in limited market reach, a lack of visibility, a lack of operational efficiency, and difficulty competing in the digital market. The purpose of this study is to review the adoption of e-commerce among MSMEs during the COVID-19 pandemic within the scope of the organization. Integrating the TOE framework (technology, organization, environment) with trust is carried out to explain the key parameters behind the adoption of e-commerce by MSMEs. This study collected samples using a saturated sample technique from 181 people who were members of the population. There were 153 questionnaires that were returned in full for further analysis using SEM-PLS modeling. The test results showed that technology did not have a significant influence on the adoption of e-commerce. Organizations, the environment during the pandemic, and trust have had a significant influence on the adoption of e-commerce. In addition, organizations that are moderated by trust have no significant effect on e-commerce adoption. The role of trust is as a moderation predictor. This research shows that the TOE framework is still strong enough to be used in explaining the adoption of e-commerce by MSMEs. This research also expands the TOE framework, where trust can also influence MSMEs to adopt e-commerce. Researchers and managers can use the set of variables that have been identified to strategize the adoption of e-commerce by MSMEs. This study presents a series of variables that can be used to study the adoption of e-commerce by MSMEs in the future.
The Comparison of Sentiment Analysis of Moon Knight Movie Reviews between Multinomial Naive Bayes and Support Vector Machine Abdul Azzam Ajhari
Applied Information System and Management (AISM) Vol 6, No 1 (2023): 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.v6i1.26045

Abstract

Online movie streaming platforms have changed the current pattern of watching movies. Besides providing convenience in watching anywhere and anytime, this service is provided at a lower cost to moviegoers. The increase in moviegoers on online streaming platforms has resulted in easy-to-find reviews. This review can determine whether they decide to watch the film or not. The moviegoers' reviews can be easily and quickly found for analysis using sentiment analysis to find a film's worthiness. This study used sentiment analysis in classifying Twitter data predictions using the Multinomial Naive Bayes (MNB) and Support Vector Machine (SVM). In the sentiment analysis of labeling with positive and negative categories, a distilled version of BERT (DistilBERT) was used in this study. With a little human assistance in preprocessing, the model worked objectively with an overall accuracy performance on the confusion matrix of 64.50% for the Multinomial Naive Bayes model and 64.12% for the Support Vector Machine model. Performance evaluation was also carried out by calculating the cross-validation accuracy, which resulted in an accuracy of 72.38% for the MNB. Meanwhile, the SVM model obtained an accuracy of 70.19%.

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