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All Journal JRAK: Jurnal Riset Akuntansi dan Komputerisasi Akuntansi The Indonesian Journal of Business Administration Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Loyalitas Sosial: Journal of Community Service in Humanities and Social Sciences AKADEMIK: Jurnal Mahasiswa Humanis SAINSTECH: Jurnal Penelitian dan Pengkajian Sains dan Teknologi Jurnal Ilmu Komputer (JIK) Spectrum: Multidisciplinary Journal Journal of Management, Accounting, and Administration
Zaldy Suhatman, Zaldy
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Religion Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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PENGELOLAAN DAN PENYAJIAN LAPORAN KEUANGAN PESANTREN BERBASIS AKUNTANSI SYARIAH : ANALISIS KRITIS PEDOMAN AKUNTANSI PESANTREN senjiati, Ifa hanifia; maulida, ira siti rohmah; Suhatman, zaldy; ridwan, itsnaina lathifah
JRAK (Jurnal Riset Akuntansi dan Komputerisasi Akuntansi) Vol 11 No 1 (2020): JRAK: Jurnal RIset Akuntansi dan Komputerisasi Akuntansi
Publisher : Jurusan Akuntansi Fakultas Ekonomi Universitas Islam 45

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (773.752 KB) | DOI: 10.33558/10.33558/jrak.v9i2.1589

Abstract

  The potential of managing pesantren, especially in West Java, reaches 8342 pesantren with 453,981 students. Then it needs improvement in financial management because there are still many pesantren that have not been as good as Nurul Hijrah Islamic Boarding School in East Jakarta. During this time, the pesantren presents financial reports based on PSAK 45 and PSAK Entities without a Public Accountant (ETAP). However, some pesantren have not carried out financial reporting as in the related PSAK.         The research method used is qualitative with a descriptive approach. Stages of research include literature review, formulation of research problems, preparation of research methods and instruments, data analysis, and concluding. Data collection techniques through surveys of pesantren in Depok City. Data analysis uses narrative analysis.         The results of the study are that pesantren financial managers generally do not have an accounting or financial education background, financial management is manually systemized or an excel application, and there is no internet connection. The financial management of pesantren in Depok is decentralized and centralized. Islamic boarding school-based financial management is the presentation of financial statements prepared based on PSAK 45 related to non-profit organizations, PSAK ETAP, and PSAK Syariah from PSAK 101 to PSAK 112 about Waqf. So some accounts are added such as murabahah, salam, and istishna accounts; mudharabah and musyarakah investments; ijarah assets; endowments; receipt of zakat, infaq, and shodaqoh; qard receivables; musyarakah mutanaqisoh investment and temporary syirkah funds.
IT Project Management Practice at PT. Bank BRI Syariah Suhatman, Zaldy; Firman, Aries F
The Indonesian Journal of Business Administration Vol 3, No 6 (2014)
Publisher : The Indonesian Journal of Business Administration

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Abstract

Abstract— PT. Bank BRISyariah (BRIS)  has three pillars of strategic plans for the bank development, the first pillar is general business affairs to increase commercial performance, linkage, retail and the third party fund. The second pillar boosts business growth in micro business, consumer financing and office channeling optimization. As the foundation there are network, Core banking and IT Application, Human Resource and Culture, Operation, Risk Management. Core banking and IT Application must able to support three pillars of strategic plan, BRISyariah as growing company need Core banking development and IT Application Development conducted by IT Group is a fast, efficient and cost friendly. Currently an application development project carried out by using SDLC (System Development Life Cycle) method as contained in Circular Letter of Bank Indonesia, if only using this method are still many inefficiencies. There are, however, methods of PMI (Project Management Institute) that is based on the PMBOK (Project Management Book of Knowledge), which is the reference for project managers around the world. Then this final project aims to look at the factors of inefficiencies in the development process with the current method and process efficiency Core banking development and IT applications by combining methods of SDLC and PMBOK. These factors were obtained based on the results of interviews with some respondents who are in the IT group itself and also the respondent from another group that is often associated with process development and process development Core banking IT Applications.  Application of PMBOK combined with SDLC best practices so as to produce a solution that can reduce or eliminate inefficiencies. Best practice solutions to be built for 1 year starting with a preparatory phase for 6 months consisting of socialization to users, and then to IT Staff, Training and PMP certification to project manager and implementation Project Management application system. then proceed with the change management program for implementation and monitoring during the next 6 months. Important after the implementation phase is monitoring and feedback to ensure that best practice solution can make the development process core banking and IT applications become more efficient and effective Key words: Project management, Information Technology, SDLC, PMBOK.
Pengelolaan dan Penyajian Laporan Keuangan Pesantren Berbasis Akuntansi Syariah : Analisis Kritis Pedoman Akuntansi Pesantren senjiati, Ifa hanifia; maulida, ira siti rohmah; Suhatman, zaldy; ridwan, itsnaina lathifah
JRAK: Journal of Accounting Research and Computerized Accounting Vol 11 No 1 (2020): JRAK: Jurnal RIset Akuntansi dan Komputerisasi Akuntansi
Publisher : Jurusan Akuntansi Fakultas Ekonomi Universitas Islam 45

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/jrak.v11i1.1849

Abstract

The potential of managing pesantren, especially in West Java, reaches 8342 pesantren with 453,981 students. Then it needs improvement in financial management because there are still many pesantren that have not been as good as Nurul Hijrah Islamic Boarding School in East Jakarta. During this time, the pesantren presents financial reports based on PSAK 45 and PSAK Entities without a Public Accountant (ETAP). However, some pesantren have not carried out financial reporting as in the related PSAK. The research method used is qualitative with a descriptive approach. Stages of research include literature review, formulation of research problems, preparation of research methods and instruments, data analysis, and concluding. Data collection techniques through surveys of pesantren in Depok City. Data analysis uses narrative analysis. The results of the study are that pesantren financial managers generally do not have an accounting or financial education background, financial management is manually systemized or an excel application, and there is no internet connection. The financial management of pesantren in Depok is decentralized and centralized. Islamic boarding school-based financial management is the presentation of financial statements prepared based on PSAK 45 related to non-profit organizations, PSAK ETAP, and PSAK Syariah from PSAK 101 to PSAK 112 about Waqf. So some accounts are added such as murabahah, salam, and istishna accounts; mudharabah and musyarakah investments; ijarah assets; endowments; receipt of zakat, infaq, and shodaqoh; qard receivables; musyarakah mutanaqisoh investment and temporary syirkah funds.
USULAN SOLUSI UNTUK MEMBANGUN CUSTOMER MASTER FILE PADA PT. ABC Handijono, Ardijan; Suhatman, Zaldy
Jurnal Ilmu Komputer Vol 6 No 3 (2023): Jurnal Ilmu Komputer (JIK)
Publisher : LPPM-STMIK Pranata Indonesia

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Abstract

PT. ABC adalah perusahaan penjaminan kredit, yang menerima data pengajuan kredit dan data nasabah dari beberapa bank rekan bisnisnnya. Setiap bank mengirimkan data nasabah dengan kelengkapan data dan struktur data yang berbeda-beda. Masalah timbul ketika data nasabah diketahui banyak yang duplikat, hal ini terjadi karena tidak setiap data nasabah yang diterima dari Bank memberikan nomor KTP sehingga setiap data nasabah yang baru diterima di anggap sebagai data nasabah baru. Pada kasus ini kita akan fokus pada masalah data nasabah. Dipasaran ada beberapa solusi untuk problem ini yaitu aplikasi Customer Data Management (CDI) namun aplikasi ini hanya bisa menunjang proses binis yang umum, tidak sesuai digunakan pada kasus ini. Proses menyatukan beberapa data nasabah yang duplikat menjadi satu biasanya disebut proses Data Deduplication. Masalah akan timbul jika masing-masing data nasabah tersebut telah mempunyai sejarah transaksi, maka kode indentitas nasabah tidak bisa di ganti atau dihapus karena sudah terhubung ke tabel transaksi sebagai Foreign Key. Masalah ini dapat dirumuskan menjadi beberapa pertanyaan sebagai berikut: (1) Bagaimana cara mengidentifikasi beberapa data nasabah yang mirip adalah orang yang sama. (2) Bagaimana cara menjadikan satu Data duplikat tanpa menghilangkan transaksi history yang pernah dilakukan. (3) Bagaimana cara memberikan kode identitas yang unik setelah data nasabah disatukan. Untuk dapat menjawab pertanyaan-pertanyaan tersebut peneliti melakukan literatur review dari beberapa jurnal sebelumnya, melakukan analisa dan sintesa untuk bisa memberikan solusi, dan hasil akhirnya membuat kerangka desain sistem dalam bentuk proses flow dan desain database
Pelatihan Literasi Keuangan Syariah Melalui Metode Getok Tular (Word Of Mouth Communication) Suhatman, Zaldy; Hasbi, Sahlan
Jurnal Loyalitas Sosial: Journal of Community Service in Humanities and Social Sciences Vol. 1 No. 2 (2019): Jurnal Loyalitas Sosial: Journal of Community Service in Humanities and Social
Publisher : Fakultas Keguruan dan Ilmu Pendidikan Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/JLS.v1i2.p82-91

Abstract

Based on the national survey data of the Financial Services Authority, the conventional Financial literacy index in Indonesia reaches 29.1% while the Sharia financial literacy index is only 8.1% or lower than 30 percent conventional financial literacy. This condition shows the lack of public understanding of the product features and activities of sharia finance institutions considering that the terms used are generally a new term for Indonesian society. Since the year 2018 United Cooperative Relatives of Pulo Kambing converted into a Shariah cooperative. But from 33 managers and managers of active cooperatives, only 12.1% or only 4 people) who have participated in the training of sharia cooperatives. The solutions offered to solve the problem of knowledge gaps of managers, managers, and members of sharia cooperatives, the sharia financial literacy is done by Getok Tular (Word Of Mouth Communication) method which aims to Give birth to change agents who are ready to transmit his knowledge about sharia-urban.  Based on the results of devotion, there is increased post-training knowledge. Based on the results of pretests and posttest there is a hike of 35 points so that it can be concluded that there is an increase in participants about the sharia cooperative and can be categorized that the trainees have fulfilled the criteria as an agent Infanteer tular (Word Of Mouth Communication strategy).
Optimisasi Hybrid Recommendation System dengan Clustering menggunakan Machine Learning Handijono, Ardijan; Suhatman, Zaldy
SAINSTECH: JURNAL PENELITIAN DAN PENGKAJIAN SAINS DAN TEKNOLOGI Vol 34 No 4 (2024): Jurnal Penelitian dan Pengkajian Sains dan Teknologi
Publisher : Institut Sains dan Teknologi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37277/stch.v34i4.2179

Abstract

Bank seringkali menawarkan produk finansial yang bersifat generik dan kurang spesifik terhadap kebutuhan masing-masing nasabah, sehingga tingkat keberhasilan pemasaran produk finansial cenderung rendah dan kurang efektif. Penelitian ini bertujuan untuk mengoptimalkan sistem rekomendasi produk finansial dengan menerapkan hybrid recommender system yang mengintegrasikan teknik segmentasi nasabah berbasis machine learning. Segmentasi dilakukan melalui teknik clustering yang menggabungkan model RFM (Recency, Frequency, Monetary) dengan data demografis dan rata-rata saldo harian nasabah, menghasilkan segmentasi yang lebih akurat dan relevan dalam mengidentifikasi preferensi serta kebutuhan masing-masing segmen nasabah.Proses pengembangan model dilakukan dengan metodologi CRISP-ML(Cross-Industry Standard Process for Machine Learning) , menggunakan algoritma clustering K-Means dan DBSCAN. Hasil evaluasi menunjukkan bahwa algoritma DBSCAN memiliki performa yang lebih unggul dibandingkan K-Means dalam mengelompokkan nasabah sesuai karakteristik yang spesifik. Selain itu, penerapan machine learning memungkinkan model untuk memperbarui segmen secara real-time berdasarkan data transaksi terbaru, sehingga mampu beradaptasi dengan perubahan perilaku nasabah secara dinamis dan responsive. Recommender system kemudian dibangun berdasarkan produk-produk populer pada masing-masing segmen, dengan asumsi bahwa nasabah dalam segmen yang sama memiliki preferensi yang serupa. Sistem ini membantu bank mengidentifikasi peluang Cross-Selling dan Up-Selling secara lebih tepat sasaran. Hasil akhir dari penelitian ini adalah recommender system yang mampu memberikan rekomendasi produk yang sesuai dengan karakteristik demografis, seperti usia, jenis kelamin, pekerjaan, nilai RFM, dan rata-rata saldo harian nasabah, sehingga meningkatkan relevansi dan efektivitas penawaran produk serta kepuasan nasabah. Hasil penelitian menunjukkan bahwa sistem yang dibangun mampu meningkatkan efektivitas pemasaran dari 48% menjadi 78% dan kepuasan nasabah dari 65% menjadi 92%. Dengan segmentasi yang lebih akurat dan rekomendasi produk yang relevan, sistem ini memberikan pengalaman layanan yang lebih personal dan mendukung efisiensi pemasaran bank. Kata Kunci: Hybrid Recommender System, Clustering, K-Means, DBSCAN, RFM , Bank
Pengaruh Nilai Penerbitan Obligasi Syariah (Sukuk) dan Rating Penerbitan Obligasi Syariah (Sukuk) Perusahaan terhadap Return Saham pada BEI Tahun 2015-2018 Annisa, Firda; Suhatman, Zaldy
Journal of Management, Accounting, and Administration Vol. 1 No. 1 (2024): Journal of Management, Accounting and Administration
Publisher : STAI Nurul Islam Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52620/jomaa.v1i1.88

Abstract

Penelitian ini bertujuan: 1) Untuk mengetahui pengaruh nilai penerbitan obligasi syariah (sukuk) terhadap return saham pada BEI periode tahun 2015-2018. 2) Untuk mengetahui pengaruh rating penerbitan obligasi syariah (sukuk) perusahaan terhadap return saham pada BEI periode tahun 2015-2018. 3) Untuk mengetahui pengaruh nilai penerbitan obligasi syariah (sukuk) dan rating penerbitan obligasi syariah (sukuk) perusahaan terhadap return saham pada BEI periode tahun 2015-2018. Metode penelitian ini menggunakan metode deskripsi kuantitatifdengan menggunakan jenis penelitian deskriptif dan asosiatif. Populasi dalam penelitian ini sebanyak 30 perusahaan yang menerbitan obligasi syariah (sukuk). pengambilan sampel dapat menggunakan purposive sampling, maka diperoleh 10 perusahaan sebagai sampel dengan total 40 penerbitan obligasi syariah (sukuk) yang terdaftar di Bursa Efek Indonesia periode 2015-2018. Dengan teknik analisa data menggunakan Analisis Regresi Linear Sederhana, Analisis Regresi Linear Berganda, Uji Koefisien Korelasi, Uji Koefiensi Determinasi, Uji tdan Uji F dengan perhitungan menggunakan SPSS 24 for windows. Hasil penelitian ini menunjukkan bahwa: 1) Terdapat pengaruh Nilai Penerbitan Obligasi mempunyai pengaruh yang signifikan terhadap variabel Return Saham. 2) Terdapat pengaruh Rating Penerbitan Obligasi mempunyai pengaruh yang signifikan terhadap variabel Return Saham. 3) Terdapat pengaruh yang signifikan antara Nilai Penerbitan Obligasi dan Rating Penerbitan Obligasi terhadap Return Saham.
Penerapan Machine Learning untuk Mempertahankan Loyalitas Pelanggan menggunakan Churn Prediction Handijono, Ardijan; Suhatman, Zaldy
Spectrum: Multidisciplinary Journal Vol. 2 No. 3 (2025): Spectrum: Multidisciplinary Journal
Publisher : Sapta Arga Nusantara

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Abstract

Penelitian ini membangun model Churn Prediction untuk Bank XYZ menggunakan kerangka kerja CRISP-ML dengan data ±700 ribu nasabah dan transaksi tabungan selama enam bulan. Tantangan utama adalah ketidakseimbangan kelas, di mana hanya 1,70% nasabah berstatus Churn. Untuk mengatasinya, digunakan teknik SMOTE. Empat algoritma ensemble learning diuji, yaitu RandomForest, XGBoost, LightGBM, dan ExtraTrees, dengan hyperparameter tuning menggunakan RandomizedSearchCV dan GridSearchCV. Hasil evaluasi menunjukkan LightGBMClassifier memiliki performa terbaik (F1-Score 0,8623; AUC 0,99). Model diimplementasikan berbasis API yang memungkinkan untuk dapat diintegrasikan dengan sistem lain misalnya CRM, dilengkapi pemantauan performa dan retraining otomatis. Pendekatan ini terbukti efektif untuk mendukung strategi retensi nasabah melalui prediksi Churn yang akurat.
Merancang Data Mining untuk Mendukung Strategi Cross-Selling Handijono, Ardijan; Suhatman, Zaldy
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 2 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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Abstract

Up-Selling and Cross-Selling are part of a CRM (Customer Relationship Management) strategy. Up-Selling is a way to encourage consumers to buy a better product that has a higher value than what has been purchased. Meanwhile, Cross-Selling is a method to offer complementary or additional products. In large outlets with product items that can reach thousands, it is not easy to be able to identify related products automatically and quickly. To be able to provide a solution to this problem, a literature study will be carried out in several journals regarding CRM, Data Mining and Call-Centers. In the Cross-Selling strategy, Data Mining can be used to identify a product that is related to any product by analyzing the customer's shopping basket in the transaction history, this technique is also known as MBA (Market Basket Analysis). The results of Data Mining are product/service recommendations that have a strong correlation with several other products that customers usually buy. By adding Call-Center technology and CTI (Computer Telephony Integration) recommendations from Data Mining can be followed up by Telemarketing Agents to offer products/services directly to Customers.
Meningkatkan Deduplikasi Data melalui Kesamaan Teks dalam Pembelajaran Mesin: Pendekatan Komprehensif Handijono, Ardijan; Suhatman, Zaldy
AKADEMIK: Jurnal Mahasiswa Humanis Vol. 4 No. 2 (2024): AKADEMIK: Jurnal Mahasiswa Humanis
Publisher : Perhimpunan Sarjana Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37481/jmh.v4i2.955

Abstract

The issue of dirty data, particularly duplicate data, is a common problem in data management that can affect data quality, operational efficiency, and decision-making. This study highlights the importance of implementing sustainable deduplication strategies as a key step in managing dirty data. We explore solutions for detecting duplicate data by measuring text similarity indices. In this study, the authors utilize a literature review research method. Through this method, we collected various journals on data deduplication and text similarity techniques, comparing several methods to identify the most effective approach. The data deduplication process in this study consists of two stages: 1) Matching - calculating the similarity value of a record with previous records, and 2) Clustering - grouping all records deemed duplicates of a single entity. Furthermore, this study extends to the development of a Python application capable of identifying and grouping similar customer data based on text similarity values. The Text Similarity measurement method uses the Jaro-Winkler Similarity technique. Experimental results and evaluations show that the Text Similarity approach is effective in identifying duplicate data with a high degree of accuracy. This study emphasizes the importance of sustainable deduplication, where the deduplication process is conducted periodically and continuously to ensure optimal data quality.
Co-Authors Annisa, Firda Aries F Firman Handijono, Ardijan Hasbiyah, Wiwik ifa hanifia senjiati Maulida, Ira Siti Rohmah ridwan, itsnaina lathifah Sa'diyah, Khotimatus Sadiyah, Khotimatus Sahlan Hasbi